Information retrieval based on semantic query on RDF annotated resources

The development of the semantic Web, where Web resources would be semantically annotated based on RDF and shared ontology, provides an opportunity for more effective meaning-based search and retrieval of information available through the Web. In such environment, a free text query can be posted and resolved into its semantics, which direct the information retrieval. One important factor in the performance of such semantic query is finding the right interpretation for the query words (i.e. word sense disambiguation). In this paper, we examine the performance of a new approach to such semantic query in the context of semantic Web.